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» Backward-chaining evolutionary algorithms
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109
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GECCO
2005
Springer
131views Optimization» more  GECCO 2005»
15 years 9 months ago
EA models and population fixed-points versus mutation rates for functions of unitation
Using a dynamic systems model for the Simple Genetic Algorithm due to Vose[1], we analyze the fixed point behavior of the model without crossover applied to functions of unitation...
J. Neal Richter, John Paxton, Alden H. Wright
130
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PPSN
2004
Springer
15 years 9 months ago
Learning Probabilistic Tree Grammars for Genetic Programming
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
Peter A. N. Bosman, Edwin D. de Jong
78
Voted
IPPS
2003
IEEE
15 years 9 months ago
Parallel LAN/WAN Heuristics for Optimization
We present in this work a wide spectrum of results on analyzing the behavior of parallel heuristics for solving optimization problems. We focus on evolutionary algorithms as well ...
Enrique Alba, Gabriel Luque
124
Voted
ASPDAC
2005
ACM
98views Hardware» more  ASPDAC 2005»
15 years 5 months ago
Online hardware/software partitioning in networked embedded systems
Abstract— Today’s embedded systems are typically distributed and more often confronted with timevarying demands. Existing methodologies that optimize the partitioning of comput...
Thilo Streichert, Christian Haubelt, Jürgen T...
119
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EOR
2010
110views more  EOR 2010»
15 years 3 months ago
A hybrid metaheuristic approach to solving the UBQP problem
This paper presents a hybrid metaheuristic approach (HMA) for solving the Unconstrained Binary Quadratic Programming (UBQP) problem. By incorporating a tabu search procedure into ...
Zhipeng Lü, Fred Glover, Jin-Kao Hao